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D. Binu - Artificial Intelligence in Data Mining: Theories and Applications

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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area.

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Table of Contents List of tables Tables in 2 Tables in 3 Tables in 4 - photo 1
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Table of Contents
Artificial Intelligence in Data Mining
Theories and Applications

Edited by

D. Binu

Managing Director and cofounder, Resbee Info Technologies Pvt. Ltd, India

B.R. Rajakumar

Director and cofounder, Resbee Info Technologies Pvt. Ltd, India

Copyright Academic Press is an imprint of Elsevier 125 London Wall London EC2Y - photo 2

Copyright

Academic Press is an imprint of Elsevier

125 London Wall, London EC2Y 5AS, United Kingdom

525 B Street, Suite 1650, San Diego, CA 92101, United States

50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States

The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, United Kingdom

Copyright 2021 Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

ISBN: 978-0-12-820601-0

For Information on all Academic Press publications visit our website at https://www.elsevier.com/books-and-journals

Publisher: Mara Conner

Acquisitions Editor: Chris Katsaropoulos

Editorial Project Manager: Rachel Pomery

Production Project Manager: Sreejith Viswanathan

Cover Designer: Hitchen Miles

Typeset by MPS Limited, Chennai, India

List of contributors D Binu Resbee Info Technologies India Rajasekhar - photo 3

List of contributors

D. Binu , Resbee Info Technologies, India

Rajasekhar Butta , ECE Department, Gudlavalleru Engineering College, Gudlalvalleru, India

Satish Chander , Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi, India

R. Cristin , Department of CSE, GMR Institute of Technology, Rajam, Andhra Pradesh, India

M. Geetha , SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India

Pramod Pandurang Jadhav , Department of Computer Engineering, G H Raisoni Institute of Engineering and Technology (GHRIET), Pune, India

Ganesh Janarthanan , L&T Technology Services Ltd, Bangalore, India

N. Jayalakshmi , Raghu Institute of Technology, Visakhapatnam, India

M. Kamaraju , ECE Department, Gudlavalleru Engineering College, Gudlalvalleru, India

Rahul Kotawadekar , Master of Computer Applications (MCA), Finolex Academy of Management and Technology, University of Mumbai, Ratnagiri, India

Balachandra Kumaraswamy , Department of Electronics and Telecommunication, B.M.S College of Engineering, Bengaluru, India

Chithra LekshmiK.S. , Department of Visual Communication (Electronic Media), PSG College of Arts & Science, Coimbatore, India

Sridevi Mantha , Big Data Analytics, Quadratyx, Hyderabad, Telangana, India

Balajee Maram , Department of CSE, GMR Institute of Technology, Rajam, Andhra Pradesh, India

D. Menaga , KCG College of Technology, Chennai, India

G. Nalinipriya , Department of Information Technology, Saveetha Engineering College, Chennai, India

Anush Prabhakaran , Department of Mechatronics Engineering, Kumaraguru College of Technology, Saravanapatti, Coimbatore, India

B.R. Rajakumar , Resbee Info Technologies, India

S. Saravanan , HCL Technologies Limited, Chennai, India

V. Sumalatha , ECE Department, Jntuacea, Anatapuramu, India

ArulV.H. , Department of ECE, Thejus Engineering College, Thrissur, India

P. Vijaya , Department of Computer Science & Mathematics, Modern College of Business and Science, Muscat, Oman

Preface

D. Binu and B.R. Rajakumar

The artificial intelligence (AI) has attained a level of maturity in which several methods are proved as victorious. The ability of research is shown in different research projects ranging from decision making to rivalry of the cognitive process of human expertise. Other triumphant AI models illustrated the design of descriptive reasoning theories and usage of formal language is done to symbolize pattern discovery and relations among the data. The automation of tools in societies has considerably improved the potential for producing and accumulating data from different sources. The increasing quantity of data has flooded all factors of the lives. The growth in stored data has produced an urgent requirement for novel methods and automatic tools that can intelligently help to transform huge data into useful information and knowledge. This escorts generation of promising and budding frontier in information technologies called data mining. The data mining poses a huge capability to enhance business outcomes. The significance of AI in data mining is well known and termed as oil of the cyber world.

The book is modeled to cover key factors of the subject of AI in data mining. This book is splitted into small chapters so that the topics can be arranged and understood properly and the topics within chapters are organized in proper sequence for ensuring smooth subject flow. The book utilizes understandable language for explaining the fundamentals of the subject. The book offers a logical method of explaining several complex concepts and stepwise techniques for elaborating the imperative topics. Each chapter is well modeled with essential illustrations, practical instances, and solved problems. All chapters contained in the book are organized in proper sequence which allows each topic to build upon earlier studies. All care is taken for making learners comfortable in understanding the basic concepts of the subject. The book not only covers the complete scope of subject but also illustrates the philosophy of the subject, which makes the understanding of the subject clearer and makes it more interesting.

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